Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Inger-Lise Frogner"'
Autor:
Harald Sodemann, Marvin Kähnert, Teresa Maaria Remes, Petter Ekrem, Rafael Grote, Inger-Lise Frogner
Stochastic parameterisations are an important way to represent uncertainty in the deterministic forecasting models underlying ensemble prediction systems. Current stochastic parameterisation approaches use random correlation patterns that are unrelat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0c5981d4d9521661835af3bf0669b95f
https://doi.org/10.5194/egusphere-egu23-15927
https://doi.org/10.5194/egusphere-egu23-15927
Autor:
Inger-Lise Frogner, Ulf Andrae, Pirkka Ollinaho, Alan Hally, Karoliina Hämäläinen, Janne Kauhanen, Karl-Ivar Ivarsson, Daniel Yazgi
Publikováno v:
Monthly Weather Review. 150:775-795
The stochastically perturbed parameterizations scheme (SPP) is here implemented and tested in HarmonEPS—the convection-permitting limited area ensemble prediction system by the international research program High Resolution Limited Area Model (HIRL
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::912be9dc8b0020324a0333802c19e4ee
https://doi.org/10.1175/mwr-d-21-0099.1
https://doi.org/10.1175/mwr-d-21-0099.1
Stochastic parameterisations are an important way to represent uncertainty in the deterministic forecasting models underlying ensemble prediction systems. In many of the currently used stochastic parameterisation approaches, random generators produce
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f2a8d61c0d00aae17f4b92486ef13394
https://doi.org/10.5194/egusphere-egu21-9878
https://doi.org/10.5194/egusphere-egu21-9878
Autor:
Anastasia Bundel, Kwang-Deuk Ahn, Matthew Pyle, Anatoly Muravyev, G. S. Rivin, Yong Wang, E. D. Astakhova, Andrea Montani, Stéphane Bélair, George A. Isaac, Thomas N. Nipen, Janti Reid, Inger-Lise Frogner, Jason A. Milbrandt, Benedikt Bica, D. B. Kiktev, Paul Joe, Inna Rozinkina, Tiziana Paccagnella, Michael Tsyrulnikov, Pertti Nurmi
Publikováno v:
Bulletin of the American Meteorological Society. 98:1908-1929
The World Meteorological Organization (WMO) World Weather Research Programme’s (WWRP) Forecast and Research in the Olympic Sochi Testbed program (FROST-2014) was aimed at the advancement and demonstration of state-of-the-art nowcasting and short-ra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4609180454cce92cc803f1063d2b27ec
https://doi.org/10.1175/bams-d-15-00307.1
https://doi.org/10.1175/bams-d-15-00307.1
Challenges related to the design and use of a convection-permitting ensemble (CPEPS) are discussed. In particular the scale-dependent predictability of precipitation and the use of a CPEPS as well as its potential added value over global ensemble pre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::33a18daad2777d3c3d9ce5f89bb85770
http://urn.kb.se/resolve?urn=urn:nbn:se:smhi:diva-5445
http://urn.kb.se/resolve?urn=urn:nbn:se:smhi:diva-5445
Autor:
Sibbo van der Veen, Ulf Andrae, Janne Kauhanen, Geert Smet, Jelena Bojarova, Alfons Callado, Inger-Lise Frogner, Andrew Singleton, Roger Randriamampianina, Alan Hally, Henrik Feddersen, Pau Escribà, Ole Vignes
Publikováno v:
ARCIMIS. Archivo Climatológico y Meteorológico Institucional (AEMET)
Agencia Estatal de Meteorología (AEMET)
Agencia Estatal de Meteorología (AEMET)
HarmonEPS is the limited-area, short-range, convection-permitting ensemble prediction system developed and maintained by the HIRLAM consortium as part of the shared ALADIN–HIRLAM system. HarmonEPS is the ensemble realization of HARMONIE–AROME, us
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d31b79f07785db0d07bdd9e39194dc99
http://urn.kb.se/resolve?urn=urn:nbn:se:smhi:diva-5490
http://urn.kb.se/resolve?urn=urn:nbn:se:smhi:diva-5490
Publikováno v:
Weather and Forecasting. 31:1833-1851
Three ensemble prediction systems (EPSs) with different grid spacings are compared and evaluated with respect to their ability to predict wintertime weather in complex terrain. The experiment period was two-and-a-half winter months in 2014, coincidin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2057fc3ff3e1058fa5ca747f21fa2227
https://doi.org/10.1175/waf-d-16-0048.1
https://doi.org/10.1175/waf-d-16-0048.1
Autor:
Craig, George, Forbes, Richard, Abdalla, Saleh, Balsamo, Gianpaolo, Bechtold, Peter, Berner, Judith, Buizza, Roberto, Pallares, Alfons Callado, Meutter, Pieter De, Dueben, Peter, Inger-Lise Frogner, Gagnon, Normand, Hodyss, Dan, Holm, Darryl, Sarah-Jane Lock, Machulskaya, Ekaterina, Najafi, Husain, Pirkka Ollinaho, Selz, Tobias, Separovic, Leo, Subramanian, Aneesh, Tseng, John, Weisheimer, Antje
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::65e8f59035aa86c146f9defc60756ba8
Publikováno v:
Quarterly Journal of the Royal Meteorological Society. 132:2785-2808
This study aims at improving 0–3 day probabilistic forecasts of precipitation events in Norway. For this purpose a limited-area ensemble prediction system (LAMEPS) is tested. The horizontal resolution of LAMEPS is 28 km, and there are 31 levels in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::463f29276fe8b8766fdae8ad023e6770
https://doi.org/10.1256/qj.04.178
https://doi.org/10.1256/qj.04.178
Autor:
Inger-Lise Frogner, Trond Iversen
Publikováno v:
Quarterly Journal of the Royal Meteorological Society. 128:1321-1341
The operational limited-area model, HIRLAM, at the Norwegian Meteorological Institute is used at 0.25° latitude/longitude resolution for ensemble weather prediction over Northern Europe and adjacent parts of the North Atlantic Ocean; this system is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4257775ca309b0237583ee7c16cbefbe
https://doi.org/10.1256/003590002320373319
https://doi.org/10.1256/003590002320373319